In this study, multidisciplinary optimization of IPMSM rotor shape applied for railway traction system was conducted by modeFRONTIER. By automating the optimization process, design engineers can be assigned to more creative project.

In this presentation we will describe an optimization procedure that can be conveniently and efficiently employed for determining: The design parameters that are critical for BGA packages; their relative importance and the actual BGA the actual BGA optimal design optimal design

Once the integration of the model in the optimization environment is done, all the optimization capabilities can be applied to improve the performance of the antenna. The optimization is a full batch process (no human intervention during the run phase), but can be constantly monitored from a “run-log” graphic console. Today multi-core PCs and clusters are able to carry out multi-objectives optimization of a complex model by a reasonable computational time.

Vehicle Dynamics Simulation is widely applied to many stages of vehicle development, accuracy of the simulation is strictly required. Since accurate vehicle dynamics simulation requires correct vehicle parameter value, but they are hardly be obtained in many cases, during the stages of the vehicle development system suppliers are usually in such circumstances due to measurement facilities / confidentiality. However, running vehicle behavior can be measured and logged as chronological data. Since “Data to be compared” are not simple index but chronological curve, decision criteria (good or bad etc.) they tend to be subjective, thus hard to be consistent. The procedure to predict reasonable value of each parameter could be defined only by well experienced engineer in Vehicle Dynamics Simulation field, skillful engineer has to repeat “Trial and Error”,this work to be done isn’t creative, thus it is really wasting time and money.

The developed project has demonstrated the applicability of optimization procedures in the context of automotive industry by using CFD for the aerodynamics solver. The integration of the aerodynamic optimization in the design phase allows engineers to interact with the other design groups without excessive delays. In this way, it becomes possible to search for solutions that do not negatively affect car style or performance, while providing a high degree of efﬁciency and safety. The reduction of industrial costs is signiﬁcant: in principle it is no longer needed to build many different models, to be subject to wind tunnel measurements: it is sufﬁcient to test the ﬁnal optimized ones